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Modeling and Simulation to understand the physical world

Acronym:

SIM

Scientifics responsibles:

Christophe Picard (LJK), Laurent Desbat (TIMC)

Goals:

Today, the most pressing technological, environmental, and health care problems call for predictive numerical models that can describe systems of increasing complexity and enable real-time simulations. Real-time computations are a prerequisite for controlling and acting on systems. The complexity may arise from the nonlinear coupling of several physical phenomena, interacting on several spatial and time scales, from high-dimensionality and from noisy data sets. The goal of this action is to propose new numerical models and simulation methods for complex physical systems. Four dimensions of complexity are considered: